2026 ASEE Annual Conference & Exposition

This study leverages the Technology–Organization–Environment (TOE) framework to investigate the critical drivers influencing the adoption of Internet of Everything (IoE) technologies in construction organizations in Nigeria. IoE technologies, such as connected devices, sensors, and real-time data analytics, have the potential to improve operational efficiency, safety and competitiveness in the construction sector. The primary objective is to identify and prioritize technological, organizational and environmental factors that shape adoption decisions, providing actionable insights for engineering managers and construction leaders. Guided by a post-positivist research philosophy, the study collected quantitative data from 226 construction professionals across both public and private sectors, including architects, builders, engineers and quantity surveyors, via a structured questionnaire. The survey instrument was designed in three sections: respondent characteristics, critical drivers of IoE adoption and application areas of the technologies, rated on a five-point significance scale. Reliability will be assessed using Cronbach’s alpha. To address uncertainties in subjective judgments and capture the relative importance of multiple drivers in a complex decision environment, this study will employ Fuzzy Set Theory (FST) and Fuzzy Synthetic Evaluation (FSE). These tools enable the precise quantification of ambiguous responses and facilitate multi-criteria assessment, allowing the synthesis and ranking of critical adoption drivers. Additionally, frequency analysis and mean item scores (MIS) will be used to describe respondent characteristics and preliminarily rank drivers before applying FSE. The findings indicate that organizational and technological factors are the most influential drivers for adopting IoE technologies in construction organizations. This suggests that management attention should prioritize enhancing organizational readiness and ensuring technological compatibility to maximize the adoption and effectiveness of IoE solutions. Moreover, the study highlights that key application areas such as construction site monitoring and real-time data collection represent the most impactful domains where IoE technologies can improve operational performance, safety and decision-making within the construction sector. These findings will inform practical strategies for workforce training, leadership support and infrastructure investment, providing a strategic roadmap for the integration of IoE in developing-country construction contexts and supporting evidence-based decision-making for engineering managers.